Piotrkowicz, A orcid.org/0000-0002-7723-699X, Dimitrova, V orcid.org/0000-0002-7001-0891, Otterbacher, J et al. (1 more author) (2017) The Impact of News Values and Linguistic Style on the Popularity of Headlines on Twitter and Facebook. In: The Workshops of the Eleventh International AAAI Conference on Web and Social Media. ICWSM NECO 2017, 15 May 2017, Montreal, Canada. Association for the Advancement of Artificial Intelligence
Abstract
A large proportion of audiences read news online, often accessing news articles through social media like Facebook or Twitter. A distinguishing characteristic of news on social media is that the most prominent (and often the only visible) part of the news article is the headline. We investigate the impact of headline characteristics, including journalistic concepts of news values and linguistic style, on the article's social media popularity. Using a large corpus of headlines from The Guardian and New York Times we derive these features automatically and correlate with social media popularity on Twitter and Facebook. We found most of them to have a significant effect and that their impact differs between the two social media and between news outlets. Further investigation with a crowdsourced study confirms that news values and style influence the audiences' decisions to click on a headline.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. This is an author produced version of the paper The Impact of News Values and Linguistic Style on the Popularity of Headlines on Twitter and Facebook. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | headlines; news; social media popularity |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Apr 2017 11:44 |
Last Modified: | 08 May 2018 12:21 |
Published Version: | https://aaai.org/ocs/index.php/ICWSM/ICWSM17/paper... |
Status: | Published |
Publisher: | Association for the Advancement of Artificial Intelligence |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115200 |